Comprehensive Study of Algal Blooms Variation in Jiaozhou Bay Based on Google Earth Engine and Deep Learning

Overview

Journal Sci Rep

Specialty Science

Date 2023 Aug 25

PMID 37626224

Authors

Bin Guan

Shaowei Ning

Xu Ding

Dawei Kang

Jiale Song

Hongwei Yuan

Affiliations

Soon will be listed here.

Abstract

The Jiaozhou Bay ecosystem, a crucial marine ecosystem in China, has been plagued by frequent harmful algal blooms as due to deteriorating water quality and eutrophication. This study analyzed the temporal and spatial changes of harmful algal blooms in Jiaozhou Bay from 2000 to 2022 using the Floating Algae Index (FAI) calculated from MODIS (2000-2022) and Sentinel-2 (2015-2022) satellite image datasets. The calculation results of the image datasets were compared. The frequency of planktonic algal outbreaks was low and constant until 2017, but has increased annually since then. Algae blooms are most common in the summer and primarily concentrated along the bay's coast, middle, and mouth, with obvious seasonal and spatial distribution characteristics. Several factors influencing algal outbreaks were identified, including sea surface temperature, wind speed, air pressure, dissolved oxygen, nitrogen and phosphorus ratios, chemical oxygen demand, and petroleum pollutants. Algal bloom outbreaks in Jiaozhou Bay are expected to remain high in 2023. The findings provide crucial information for water quality management and future algal outbreak prediction and prevention in Jiaozhou Bay.

Citing Articles

Principles and research progress of physical prevention and control technologies for algae in eutrophic water.

Wang Y, Zhu Y, Wang K, Tan Y, Bing X, Jiang J iScience. 2024; 27(6):109990.

PMID: 38840838 PMC: 11152667. DOI: 10.1016/j.isci.2024.109990.

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